2026-08-16

1935: For Linearly-Ordered Set and \(2\) Elements, Element Is Larger than 1st Element and Is Larger than 2nd Element iff Element Is Larger than Maximum of \(2\) Elements

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description/proof of that for linearly-ordered set and \(2\) elements, element is larger than 1st element and is larger than 2nd element iff element is larger than maximum of \(2\) elements

Topics


About: set

The table of contents of this article


Starting Context



Target Context


  • The reader will have a description and a proof of the proposition that for any linearly-ordered set and any \(2\) elements, any element is larger than the 1st element and is larger than the 2nd element if and only if the element is larger than the maximum of the \(2\) elements.

Orientation


There is a list of definitions discussed so far in this site.

There is a list of propositions discussed so far in this site.


Main Body


1: Structured Description


Here is the rules of Structured Description.

Entities:
\(S\): \(\in \{\text{ the linearly-ordered sets }\}\)
\(s_1\): \(\in S \cup \{- \infty\}\)
\(s'_1\): \(\in S \cup \{- \infty\}\)
\(s\): \(\in S\)
//

Statements:
\(s_1 \lt s \land s'_1 \lt s\)
\(\iff\)
\(Max (\{s_1, s'_1\}) \lt s\)
//

Each of \(- \infty \lt s\) and \(- \infty \le s\) means that \(s\) is not restricted by it; \(Max (\{- \infty, s\}) := s\) and \(Max (\{- \infty, - \infty\}) := - \infty\).


2: Proof


Whole Strategy: Step 1: suppose that \(s_1 \lt s \land s'_1 \lt s\); Step 2: see that \(Max (\{s_1, s'_1\}) \lt s\); Step 3: suppose that \(Max (\{s_1, s'_1\}) \lt s\); Step 4: see that \(s_1 \lt s \land s'_1 \lt s\).

Step 1:

Let us suppose that \(s_1 \lt s \land s'_1 \lt s\).

Step 2:

\(Max (\{s_1, s'_1\}) = s_1 \text{ or } s'_1\).

When \(Max (\{s_1, s'_1\}) = s_1\), \(Max (\{s_1, s'_1\}) = s_1 \lt s\).

When \(Max (\{s_1, s'_1\}) = s'_1\), \(Max (\{s_1, s'_1\}) = s'_1 \lt s\).

So, \(Max (\{s_1, s'_1\}) \lt s\), anyway.

Step 3:

Let us suppose that \(Max (\{s_1, s'_1\}) \lt s\).

Step 4:

When \(s_1 = s'_1 = - \infty\), \(s_1 \lt s \land s'_1 \lt s\).

Let us suppose otherwise, hereafter.

\(s_1, s'_1 \le Max (\{s_1, s'_1\}) \lt s\).

So, \(s_1 \lt s \land s'_1 \lt s\).


References


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